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efta-02497677DOJ Data Set 11OtherEFTA02497677
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DOJ Data Set 11
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efta-02497677
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From:
jeffrey E. <jeevacation@gmail.com>
Sent:
Tuesday, June 16, 2015 10:25 PM
To:
Rupert Sheldrake
Motivation</=2>
Zipf's law states that given some corpus <https://en.wikipedia.or=/wiki/Text_corpus> of natural =anguage
<https://=n.wikipedia.org/wiki/Natural_language> utterances, the frequency of any word is inversely proportional
<https://en=wikipedia.org/wiki/Inversely_proportional> to its rank in the frequency table. Thus the most frequent word
will occur approximately twice as often as the second most frequent word (=the frequency might be argued was
proportional to a morphic force. a=ter it was used once it was used more often. , three times as often as the third most
frequent word, etc. For example, in the Brown Corpus <https://en.wikipedia.org/wiki/Brown_Corpus> of American
English text, the word "the" is the most frequently occurring word, and by itself accounts for nearly 7% of all word
occurrences (69,971 out of slightly over 1 million). after it came into existence ,the second use was easier. =C2 True to
Zipf's Law, the second-place word "of" account= for slightly over 3.5% of words (36,411 occurrences), followed by
"and&quo=; (28,852). Only 135 vocabulary items are needed to account for half the Brown Corpus14)
chttps://en.wikiperia.org/wiki/Zipf%27s_law#cite_note-4>
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1
EFTA_R1_01622704
EFTA02497677
Technical Artifacts (7)
View in Artifacts BrowserEmail addresses, URLs, phone numbers, and other technical indicators extracted from this document.
Domain
en.wikiperia.orgEmail
jeevacation@gmail.comPhone
2497677URL
https://=n.wikipedia.org/wiki/Natural_languageURL
https://en.wikipedia.or=/wiki/Text_corpusURL
https://en.wikipedia.org/wiki/Brown_CorpusURL
https://en=wikipedia.org/wiki/Inversely_proportionalForum Discussions
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